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https://issues.apache.org/jira/browse/SPARK-13676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15179792#comment-15179792
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Apache Spark commented on SPARK-13676:
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User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/11519
> Fix mismatched default values for regParam in LogisticRegression
> ----------------------------------------------------------------
>
> Key: SPARK-13676
> URL: https://issues.apache.org/jira/browse/SPARK-13676
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Reporter: Dongjoon Hyun
>
> The default value of regularization parameter for `LogisticRegression`
> algorithm is different in Scala and Python. We should provide the same value.
> {code:title=Scala|borderStyle=solid}
> scala> new org.apache.spark.ml.classification.LogisticRegression().getRegParam
> res0: Double = 0.0
> {code}
> {code:title=Python|borderStyle=solid}
> >>> from pyspark.ml.classification import LogisticRegression
> >>> LogisticRegression().getRegParam()
> 0.1
> {code}
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